HypTrails | The Official Resource

HypTrails is a Bayesian approach for comparing hypotheses about human trails on the web.

For a primer, we refer to the original paper: HypTrails

A collection of resources around HypTrails.

A collection of publications concerning HypTrails.

Introduction of the HypTrails method:

Philipp Singer, Denis Helic, Andreas Hotho, Markus Strohmaier
HypTrails: A Bayesian Approach for Comparing Hypotheses About Human Trails on the Web
Proceedings of the 24th International Conference on World Wide Web, 2015

Applications:

Martin Becker, Kathrin Borchert, Matthias Hirth, Hauke Mewes, Andreas Hotho, Phuoc Tran-Gia
MicroTrails: comparing hypotheses about task selection on a crowdsourcing platform
Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business, 2015
Martin Becker, Philipp Singer, Florian Lemmerich, Andreas Hotho, Denis Helic, Markus Strohmaier
Photowalking the city: comparing hypotheses about urban photo trails on Flickr
Social Informatics, Volume 9471 of the series Lecture Notes in Computer Science, 2015
Florian Lemmerich, Martin Becker, Philipp Singer, Denis Helic, Andreas Hotho, Markus Strohmaier
Mining Subgroups with Exceptional Transition Behavior
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Thomas Niebler, Martin Becker, Daniel Zoller, Stephan Doerfel, Andreas Hotho
FolkTrails: Interpreting Navigation Behavior in a Social Tagging System
Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, 2016

Other:

Martin Becker, Hauke Mewes, Andreas Hotho, Dimitar Dimitrov, Florian Lemmerich, and Markus Strohmaier.
SparkTrails: A MapReduce Implementation of HypTrails for Comparing Hypotheses About Human Trails
Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business, 2015

Work around HypTrails is a collaboration of several organizations.

About HypTrails